PDX-MI: Minimal information for patient-derived tumor Xenograft models.
Authors
Meehan, TConte, N
Goldstein, T
Inghirami, G
Murakami, M
Brabetz, S
Gu, Z
Wiser, J
Dunn, P
Begley, D
Krupke, D
Bertotti, A
Bruna, A
Brush, M
Byrne, A
Caldas, C
Christie, A
Clark, D
Dowst, H
Dry, J
Doroshow, J
Duchamp, O
Evrard, Y
Ferretti, S
Frese, Kristopher K
Goodwin, N
Greenawalt, D
Haendel, M
Hermans, E
Houghton, P
Jonkers, J
Kemper, K
Khor, T
Lewis, M
Lloyd, K
Mason, J
Medico, E
Neuhauser, S
Olson, J
Peeper, D
Rueda, O
Seong, J
Trusolino, L
Vinolo, E
Wechsler-Reya, R
Weinstock, D
Welm, A
Weroha, S
Amant, F
Pfister, S
Kool, M
Parkinson, H
Butte, Atul J
Bult, C
Affiliation
European Molecular Biology Laboratory-European Bioinformatics Institute, Hinxton, United KingdomIssue Date
2017-11-01
Metadata
Show full item recordAbstract
Patient-derived tumor xenograft (PDX) mouse models have emerged as an important oncology research platform to study tumor evolution, mechanisms of drug response and resistance, and tailoring chemotherapeutic approaches for individual patients. The lack of robust standards for reporting on PDX models has hampered the ability of researchers to find relevant PDX models and associated data. Here we present the PDX models minimal information standard (PDX-MI) for reporting on the generation, quality assurance, and use of PDX models. PDX-MI defines the minimal information for describing the clinical attributes of a patient's tumor, the processes of implantation and passaging of tumors in a host mouse strain, quality assurance methods, and the use of PDX models in cancer research. Adherence to PDX-MI standards will facilitate accurate search results for oncology models and their associated data across distributed repository databases and promote reproducibility in research studies using these models. Cancer Res; 77(21); e62-66. ©2017 AACR.Citation
PDX-MI: Minimal information for patient-derived tumor Xenograft models. 2017, 77 (21):e62-e66 Cancer Res.Journal
Cancer ResearchDOI
10.1158/0008-5472.CAN-17-0582PubMed ID
29092942Type
ArticleLanguage
enISSN
1538-7445ae974a485f413a2113503eed53cd6c53
10.1158/0008-5472.CAN-17-0582
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